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Mr. Suryawanshi Krishna Vyankatrao is associated with the field of Plant Pathology and Botany. His research interests include Plant Disease Diagnosis, Precision Agriculture, Crop Protection Technologies, and AI Applications in Agricultural Sciences.
Agriculture is crucial for global food security, and the prompt identification of plant diseases is imperative for enhancing crop productivity and quality. Conventional disease identification techniques frequently depend on manual examination by agricultural specialists, which can be labour-intensive, expensive, and susceptible to human mistake. Deep Learning (DL) has arisen as a potent method for the automated categorisation of fruit and leaf diseases through the application of sophisticated image processing and pattern recognition techniques. Deep learning methods, including Convolutional Neural Networks (CNNs), Transfer Learning architectures, Vision Transformers (ViTs), and hybrid models, may precisely detect diseases in plant photos, facilitating prompt intervention and precision agriculture methodologies. This chapter examines the ideas, methodology, datasets, architectures, applications, problems, and future trajectories of deep learning-based systems for classifying fruit and leaf diseases, emphasising their contribution to sustainable and intelligent agriculture.